{"id":"W2758535332","doi":"10.1109/sege.2017.8052776","title":"Modeling and simulation of the 2016 Chevy Volt in dual PMSM EV mode","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electric vehicle; Powertrain; Battery (electricity); Automotive engineering; Volt; Voltage; Power (physics); Electrical engineering; Hybrid vehicle; Computer science; Torque; Dual (grammatical number); Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004775531,0.00004381873,0.00006464442,0.00002794965,0.00004304093,0.00001260378,0.00007995328,0.00004178271,0.000002174148],"category_scores_gemma":[0.00003784895,0.00003027769,0.00001165889,0.00002385768,0.00002338121,0.00009248039,0.0000314886,0.00007548596,9.330147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001153507,"about_ca_system_score_gemma":0.000004992631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001793326,"about_ca_topic_score_gemma":0.00008406047,"domain_scores_codex":[0.999737,0.000002175601,0.00008283059,0.00005244631,0.00004441795,0.00008118767],"domain_scores_gemma":[0.9997619,0.00001364744,0.00001322745,0.0001938234,0.00001092338,0.00000645737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000130204,0.000002445103,0.002426493,0.000008483342,0.000003225146,2.764997e-7,0.00002851877,0.9888927,0.001817197,0.0004705804,0.00002148407,0.006327299],"study_design_scores_gemma":[0.0001129722,0.000003924432,0.004131878,0.00001354199,0.000002203139,4.745224e-7,0.00001081405,0.9865156,0.006954981,0.002205003,0.000007746108,0.00004081558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837546,0.0001760032,0.01403787,0.00007830268,0.00002309298,0.00005238326,6.434493e-7,0.0000946754,0.001782433],"genre_scores_gemma":[0.999608,0.0000772827,0.0001839499,0.000003572795,0.000009087762,0.000001704676,1.239357e-7,0.000005548338,0.0001107056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01585343,"threshold_uncertainty_score":0.1234688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582817971051621,"score_gpt":0.2457518624872299,"score_spread":0.2299236827767137,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}